1297 Customer Reviews How to Prepare For Data Quality 10 Developer, Professional Certification
Preparation Guide for Data Quality 10 Developer, Professional Certification
Introduction for Data Quality 10 Developer, Professional Certification
This test measures your competency as a member of a project implementation team. This involves an in-depth knowledge of Data Quality processes such as Profiling, Standardization, Matching, and Consolidation. You must select and configure the appropriate Data Quality transformations and build, debug and execute Data Quality mappings including integrating those mappings into Power Center if needed.
The skills and knowledge areas measured by this test are focused on product core functionality inside the realm of a standard project implementation. Training materials, supporting documentation and practical experience may become sources of question development.
This is recommended for students seeking certification as a Data Quality Developer Certified Professional.
The suggested training prerequisites for this certification level are the completion of the following Informatica course(s):
- Data Quality: Advanced Techniques
- Informatica Analyst
- Data Quality: Data Quality Management for Developers
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What is the duration, language, and format of Data Quality 10 Developer, Professional Certification
- Duration of Exam: 90 minutes
- Type of Questions: Multiple choice (MCQs), multiple answers
- Language of Exam: English, Japanese, Korean
- Number of questions: 70
- Passing grade: 70%
- No negative marking for wrong answers
Understanding functional and technical aspects of Data Quality 10 Developer, Professional Certification
The following will be discussed in INFORMATICA DATA QUALITY 10 DEVELOPER SPECIALIST exam dumps:
- Explain how to integrate IDQ mappings and mapplets into PowerCenter Workflows including how content is handled
- Use the Exception Transformation to generate and populate the Bad Records and Duplicate Records tables
- Explain Automatic and Manual consolidation techniques and configure the Transformations used for automatic consolidation
- Provide information on the Data Quality process and dimensions of data quality
- Describe the Informatica 10 architecture and set up including the repositories required for installation
- Describe the benefits of project collaboration to a team
- Describe how Analysts and Developers can collaborate on projects
- Use and describe the functionality of the Analyst Tool including Scorecarding, Reference Table Management, Tags, Filters, Profiles and Comments
- Generate a survivor record in the DQA
- Remove duplicates using DQA
- Troubleshoot any problems that may occur
Data Quality 10 Developer, Professional Certification Path
This is a fundamental exam and gives credential of Data Quality Developer Certified Professional.
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Informatica Data-Quality-10-Developer-Specialist Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Analyst Collaboration | 10% | - Analyst Tool Usage
|
| Consolidation and Data Quality Applications (DQA) | 10% | - Data Consolidation
|
| Data Profiling | 15% | - Profiling Methods
|
| Address Validation | 5% | - Address Validation Transformation
|
| Standardization and Mapplets | 10% | - Data Standardization
|
| DQ for Excel | 5% | - Excel-based Data Quality
|
| Matching | 10% | - Match Logic
|
| Content | 10% | - Prebuilt Content Usage
|
| Informatica Platform Overview | 10% | - Architecture and Components
|
| Parameters | 5% | - Runtime Configuration
|
| Integration with PowerCenter | 5% | - Execution and Deployment
|
| Object Import and Export | 5% | - Metadata Management
|
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